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  • Kunstliche Intelligenz Und Maschinelles Lernen Ki Ml

Results for "künstliche intelligenz und maschinelles lernen (ki/ml)"


  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Statistical Hypothesis Testing, Supervised Learning, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Zurich

    Nachhaltigkeit lehren lernen

    Skills you'll gain: Systems Thinking, Sustainable Development, Complex Problem Solving, Sustainability Standards, Teaching, Environment, Curriculum Planning, Environmental Science, Decision Making, Climate Change Mitigation

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    ML Algorithms

    Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Forecasting, Algorithms, AWS SageMaker, Machine Learning, Text Mining, Time Series Analysis and Forecasting, Supervised Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART)

    3.6
    Rating, 3.6 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud - 한국어

    Skills you'll gain: CI/CD, Google Cloud Platform, Apache Airflow, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Kubernetes, Metadata Management, Scikit Learn (Machine Learning Library), Containerization

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    P

    Pearson

    Google BigQuery for Data and ML Engineers

    Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Applied Machine Learning, Big Data, Serverless Computing, Machine Learning, Data Analysis, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    M

    Microsoft

    Develop Clustering Models with Azure ML Designer

    Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Analytics, Data Transformation, Cloud Development, Exploratory Data Analysis, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, User Accounts

    4.9
    Rating, 4.9 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud - 日本語版

    Skills you'll gain: Google Cloud Platform, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Continuous Deployment, Continuous Integration, Kubernetes, Metadata Management, PyTorch (Machine Learning Library), Containerization

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Erstelle und verkaufe digitale Arbeitsblätter mit Canva

    Skills you'll gain: Canva (Software), Data Sharing, Digital Design, Content Creation, Digital Publishing, Graphic Design, Asset Protection, Teaching

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud - Português

    Skills you'll gain: CI/CD, MLOps (Machine Learning Operations), Apache Airflow, Google Cloud Platform, Data Pipelines, Tensorflow, Metadata Management, PyTorch (Machine Learning Library), Scikit Learn (Machine Learning Library), Containerization

    Advanced · Course · 1 - 3 Months

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In summary, here are 10 of our most popular künstliche intelligenz und maschinelles lernen (ki/ml) courses

  • Foundations of ML & Python for Data Science: Packt
  • Nachhaltigkeit lehren lernen : University of Zurich
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • ML Algorithms: Whizlabs
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • ML Pipelines on Google Cloud - 한국어: Google Cloud
  • Google BigQuery for Data and ML Engineers: Pearson
  • Develop Clustering Models with Azure ML Designer: Microsoft
  • Python: Logistic Regression & Supervised ML: EDUCBA
  • ML Pipelines on Google Cloud - 日本語版: Google Cloud

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